Patents by Inventor Zeynettin Akkus

Zeynettin Akkus has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and media for automatically diagnosing thyroid nodules
    Patent number: 11937973
    Abstract: In accordance with some embodiments, systems, methods, and media for automatically localizing and diagnosing thyroid nodules are provided. In some embodiments, a system for automatically diagnosing thyroid nodules comprises: an ultrasound machine; and a processor programmed to: receive a B-mode ultrasound of a thyroid from the ultrasound machine; provide the B-mode ultrasound to a classification model trained to automatically segment B-mode ultrasound; receive an output indicating which portions of the B-mode ultrasound correspond to a nodule; provide at least a portion of the B-mode ultrasound corresponding to the nodule to a second classification model trained to automatically classify thyroid nodules based B-mode, color Doppler, and shear wave elastography ultrasound; and receive, from the second trained classification model, an output indicative of the likelihood that the nodule is malignant.
    Type: Grant
    Filed: May 31, 2019
    Date of Patent: March 26, 2024
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Zeynettin Akkus, Bradley J. Erickson, Matthew R. Callstrom
  • Systems and Media for Automatically Diagnosing Thyroid Nodules
    Publication number: 20210219944
    Abstract: In accordance with some embodiments, systems, methods, and media for automatically localizing and diagnosing thyroid nodules are provided. In some embodiments, a system for automatically diagnosing thyroid nodules comprises: an ultrasound machine; and a processor programmed to: receive a B-mode ultrasound of a thyroid from the ultrasound machine; provide the B-mode ultrasound to a classification model trained to automatically segment B-mode ultrasound; receive an output indicating which portions of the B-mode ultrasound correspond to a nodule; provide at least a portion of the B-mode ultrasound corresponding to the nodule to a second classification model trained to automatically classify thyroid nodules based B-mode, color Doppler, and shear wave elastography ultrasound; and receive, from the second trained classification model, an output indicative of the likelihood that the nodule is malignant.
    Type: Application
    Filed: May 31, 2019
    Publication date: July 22, 2021
    Inventors: Zeynettin Akkus, Bradley J. Erickson, Matthew R. Callstrom